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    Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/6249

    Título
    Effectiveness of Using Voice Assistants in Learning: A Study at the Time of COVID-19
    Autor
    Sáiz Manzanares, María ConsueloAutoridad UBU Orcid
    Marticorena Sánchez, RaúlAutoridad UBU Orcid
    Ochoa Orihuel, Javier
    Publicado en
    International Journal of Environmental Research and Public Health. 2020, V. 17, n. 15, 5618
    Editorial
    MDPI
    Fecha de publicación
    2020-08
    ISSN
    1660-4601
    DOI
    10.3390/ijerph17155618
    Resumen
    The use of advanced learning technologies in a learning management system (LMS) can greatly assist learning processes, especially when used in university environments, as they promote the development of Self-Regulated learning, which increases academic performance and student satisfaction towards personal learning. One of the most innovative resources that an LMS may have is an Intelligent Personal Assistant (IPA). We worked with a sample of 109 third-grade students following Health Sciences degrees. The aims were: (1) to verify whether there will be significant differences in student access to the LMS, depending on use versus non-use of an IPA. (2) To verify whether there will be significant differences in student learning outcomes depending on use versus non-use of an IPA. (3) To verify whether there will be significant differences for student satisfaction with teaching during the COVID-19 pandemic, depending on use versus non-use of an IPA. (4) To analyze student perceptions of the usefulness of an IPA in the LMS. We found greater functionality in access to the LMS and satisfaction with teaching, especially during the health crisis, in the group of students who had used an IPA. However, both the expansion of available information and the usability of the features embedded in an IPA are still challenging issues.
    Palabras clave
    Advanced learning technologies
    Intelligent personal assistant
    Blended learning
    COVID-19
    Materia
    Enseñanza superior
    Education, Higher
    Informática
    Computer science
    Psicología
    Psychology
    URI
    http://hdl.handle.net/10259/6249
    Versión del editor
    https://doi.org/10.3390/ijerph17155618
    Aparece en las colecciones
    • Artículos ADMIRABLE
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    Atribución 4.0 Internacional
    Documento(s) sujeto(s) a una licencia Creative Commons Atribución 4.0 Internacional
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    Nombre:
    Saiz-ijerph_2020-3.pdf
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    2.054Mb
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